The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT)...
#安卓#NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
#计算机科学#Implementation of EfficientNet model. Keras and TensorFlow Keras.
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
Bumble's Private Detector - a pretrained model for detecting lewd images
#计算机科学#High level network definitions with pre-trained weights in TensorFlow
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
#计算机科学#(Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
#Awesome#A list of popular deep learning models related to classification, segmentation and detection problems
#人脸识别#face recognition training project(pytorch)
PyTorch implementation of EfficientNetV2 family
#计算机科学#📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance
#计算机科学#🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation 🍞🍖🍕
#计算机科学#A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."